Abstract Understanding how prepared teachers are to use technology enhance their teaching can assist researchers support them better, yet the theoretical basis for understanding teachers' self‐beliefs is in need of stronger empirical support. The first objective this study was replicate and extend prior research that empirically tested portions acceptance model (TAM) amongst pre‐service teachers. second test an alternative set antecedents behavioural intentions based on expectancy–value...

This exploratory research conducted a thematic analysis of students’ experiences and utilization AI tools by students in educational settings. We surveyed 87 undergraduates from two different courses at comprehensive university Western Canada. Nine integral themes that represent AI’s role student learning key issues with respect to have been identified. The study yielded three critical insights: the potential expand access for diverse body, necessity robust ethical frameworks govern AI,...

The goal of this study is to examine how facilitate cross-cultural groups in problem-based learning (PBL) using online digital tools and videos. PBL consisted two video-based cases used trigger student-learning issues about giving bad news HIV-positive patients. Mixed medical students from Canada Hong Kong worked with facilitators each country along an expert facilitator. AdobeConnect support the international model through synchronous video interaction shared applications. This examines...

Automatically analyzing dialogue can help understand and guide behavior in domains such as counseling, where interactions are largely mediated by conversation. In this paper, we study modeling behavioral codes used to asses a psychotherapy treatment style called Motivational Interviewing (MI), which is effective for addressing substance abuse related problems. Specifically, address the problem of providing real-time guidance therapists with observer that (1) categorizes therapist client MI...

Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners’ distinct progressions TREs demand inquiry approaches that employ well-conceived theoretical accounts these multiple facets. The present study investigated with BioWorld, TRE developed guide students’ clinical reasoning through diagnoses simulated patients. We applied person-oriented...

Abstract Past research shows that both teachers’ technological pedagogical content knowledge (TPACK) and their engagement in metacognitive activities are essential to technology integration the classroom. However, interplay between TPACK ability skills is still underexplored, especially context of developing technology‐infused lesson plans. This study examined how interrelations among constructs affected preservice instructional design. Sixty‐four teachers designed a with nBrowser,...

A primary concern of teacher technology education is for pre-service teachers to develop a sophisticated mental model the affordances that facilitates both teaching and learning with technology. One main obstacles developing requisite technological pedagogical content knowledge inherent challenge faced by in monitoring controlling certain aspects their own while navigating web designing lesson plan. This paper reviews preliminary findings obtained our research nBrowser, an intelligent...

Abstract The purpose of this study is to experimentally manipulate discourse processes hypothesized impact the emotions students experience when interacting with handheld augmented reality devices in informal learning settings. Research conducted field often limited by practical constraints, requiring heavy investments time and resources collect data from large samples students. To demonstrate feasibility our proposed method, a guided walking tour 60 using location‐based app was simulated...

Abstract Student teachers' instructional planning requires them to regulate certain aspects of their own learning while designing lessons. The aim this study is support student self‐regulated through the convergence effect, where network‐based tutors are designed optimize system recommendations online resources based on information‐seeking behaviours. A total 68 teachers were randomly assigned either a dynamic or static version nBrowser, which converged network not towards an optimal...

Prior to the creation of engineering schools, was taught in an apprenticeship style. However, from onset formal education, curricula have been based largely on science and mathematical knowledge. Applied subject learning (usually called traditional teaching methods) is still a common model education programmes today. The professor or tutor passes information students, newly acquired knowledge applied specific problems communication between students (and themselves) limited. In order better...

This study aimed to identify misconceptions in medical student knowledge by mining user interactions the MedU online learning environment. Data from 13000 attempts at a single virtual patient case were extracted MySQL database. A subgroup discovery method was applied patterns learner-generated annotations and responses multiple-choice items on diagnosis management of acute myocardial infarction (i.e., heart attack). First, algorithm generated rules where terms learner used predict incorrect...

This paper is motivated by two observations on computer-supported education: First, there has been growing availability, rapid proliferation, and increased diversity of learner-system educational data. Second, advances in learning analytics data mining have facilitated spawned a variety novel investigations using such Driven these complementary trends, the present work geared towards exploring knowledge-based discovery approaches understanding usage More specifically, with an eye toward...

Information seeking and acquisition is fundamental to learning from hypermedia, but student teachers often fail regulate their own learning. A total of 68 students learned with either a static or dynamic version nBrowser, network-based tutor that adapted recommendations online resources support information acquisition. Results indicated the teachers’ ratings for usefulness can be predicted 69% accuracy 77% on entire data set using fully specified model. The learner model discussed in...